Even run() of CanopyDriver, which takes only T1 and T2 is giving
different results for sequential and mapreduce.
This is preventing me from scaling up, as I need to run mapreduce on
hadoop to scale.
Is anyone having any idea of this problem?
On 02-10-2011 00:27, Paritosh Ranjan wrote:
> Hi,
>
> I am able to cluster correctly sequentially, using CanopyDriver.
>
> However, the same dataset, when processed as a MapReduce job, where (
> t1 = t3 and t2 = t4 and t1>t2) is not working. I am getting errors
> like Canopies are empty.
>
> I also tried to reduce the values of t3 and t4. But reducing it either
> has no effect or gives meaningless results.
>
> Am I doing something wrong? or is there a bug somewhere?
>
> I feel that both, sequential and MapReduce should give similar
> results. But, It is not happening.
>
> Thanks and Regards,
> Paritosh
>
>
> -----
> No virus found in this message.
> Checked by AVG - www.avg.com
> Version: 10.0.1410 / Virus Database: 1520/3932 - Release Date: 10/01/11